Deep learning Chorale prelude | Fresco Play

Deep learning Chorale prelude | Fresco Play

Monday, May 22, 2023
~ 4 min read
Deep learning Chorale prelude | Fresco Play

Question 1: Data Collected from Survey results is an example of ______

Answer: structured data


Question 2: Gradient at a given layer is the product of all gradients at the previous layers.

Answer: True


Question 3: Name the component of a Neural Network where the true value of the input is not observed.

Answer: Hidden layer


Question 4: _______________ is a Neural Nets way of classifying inputs.

Answer: FP


Question 5: Prediction Accuracy of a Neural Network depends on _______________ and ______________.

Answer: weight and bias


Question 6: Recurrent Networks work best for Speech Recognition.

Answer: True


Question 7: In a Neural Network, all the edges and nodes have the same Weight and Bias values.

Answer: False


Question 8: Recurrent Neural Networks are best suited for Text Processing.

Answer: True


Question 9: Neural Networks Algorithms are inspired from the structure and functioning of the Human Biological Neuron.

Answer: True


Question 10: The rate at which cost changes with respect to weight or bias is called _________

Answer: Gradient


Question 11: GPU stands for ________

Answer: Graphics Processing Unit


Question 12: What is the difference between the actual output and generated output known as?

Answer: Cost


Question 13: A Shallow Neural Network has only one hidden layer between Input and Output layers.

Answer: True


Question 14: _____________ is a recommended Model for Pattern Recognition in Unlabeled Data.

Answer: auto


Question 15: Process of improving the accuracy of a Neural Network is called _______________.

Answer: Training


Question 16: Restricted Boltzmann Machine expects the data to be labeled for Training.

Answer: False


Question 17: What is the best Neural Network Model for Temporal Data?

Answer: Recurrent Neural Network


Question 18: How do RNTS interpret words?

Answer: vector


Question 19: Recurrent Network can input Sequence of Data Points and Produce a Sequence of Output.

Answer: True


Question 20: A Deep Belief Network is a stack of Restricted Boltzmann Machines.

Answer: True


Question 21: nan

Answer: hidden


Question 22: All the Visible Layers in a Restricted Boltzmannn Machine are connected to each other.

Answer: False


Question 23: What is the best Neural Network Model for Temporal Data?

Answer: recuurent


Question 24: What are the two layers of a Restricted Boltzmann Machine called?

Answer: Hidden and Visible Layers


Question 25: RELU stands for ________

Answer: rectified linear


Question 26: All the Visible Layers in a Restricted Boltzmannn Machine are connected to each other.

Answer: False


Question 27: Why is the Pooling Layer used in a Convolution Neural Network?

Answer: dimension


Question 28: All the Visible Layers in a Restricted Boltzmannn Machine are connected to each other.

Answer: False


Question 29: What does LSTM stand for?

Answer: Long Short Term Memory


Question 30: All the neurons in a convolution layer have different Weights and Biases.

Answer: False


Question 31: The measure of Difference between two probability distributions is know as

Answer: KL Diver


Question 32: ___________ works best for Image Data.

Answer: convultion


Question 33: Neural Networks Algorithms are inspired from the structure and functioning of the Human Biological Neuron.

Answer: True


Question 34: Autoencoders cannot be used for Dimensionality Reduction.

Answer: False


Question 35: What is the method to overcome the Decay of Information through time in RNN known as?

Answer: Gating


Question 36: De-noising and Contractive are examples of _____________

Answer: Autoencoders


Question 37: What is the difference between the actual output and generated output known as?

Answer: cost


Question 38: ________________ models are best suited for Recursive Data.

Answer: Recursive Neural Tensor Nets


Question 39: A _______________ matches or surpases the output of an individual neuron to a visual stimuli.

Answer: Convolution


Question 40: Support Vector Machines, Naive Bayes and Logistic Regression are used for solving _______________________ problems.

Answer: Classification


Question 41: How do RNTS interpret words?

Answer: Vector Representations


Question 42: Autoencoders are trained using ___________________

Answer: Back Propagation


Question 43: A _________________ matches or surpasses the output of an individual neuron to a visual stimuli.

Answer: Convolution


Question 44: All the Visible Layers in a Restricted Boltzmann Machine are connected to each other.

Answer: False


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